Ann-codebytes/LLM_experiments_by_Ann

1import streamlit as st2from langchain_community.document_loaders import WebBaseLoader3from LangChainConnect import LangChainConnect4 5class CoverLetterGenerator:6    def __init__(self):7        st.title('Cover letter generator')8        self.url_input=st.text_input("Enter URL for the job:", value="")9        self.tell_about_yourself_name=st.text_input("Your name:", value="")10        self.tell_about_yourself_experience=st.text_input("Years of experience:", value="")11        self.submit_button = st.button("submit")12        self.lang_chain_connect = LangChainConnect()13 14    def check_button_click(self):15        if self.submit_button:16            try:17                cover_letter_content = self.generate_cover_letter()18                st.code(f"{cover_letter_content}", language='markdown')19            except Exception as e:20                raise Exception(f"Exception occured {e}")21 22    def generate_cover_letter(self):23        loader = WebBaseLoader([self.url_input])24        docs=loader.load().pop().page_content25        json_content_description = self.lang_chain_connect.extract_job_content(docs)26        cover_letter_content = self.lang_chain_connect.write_cover_letter(json_content_description,"sample",self.tell_about_yourself_name,self.tell_about_yourself_experience,self.url_input)27        return cover_letter_content28 29 30if __name__ == "__main__":31    cover_letter = CoverLetterGenerator()32    cover_letter.check_button_click()